Biological Ingredient Analysis of Traditional Herbal Patent Medicine Fuke Desheng Wan Using the Shotgun Metabarcoding Approach.
Biological Ingredient Analysis of Traditional Herbal Patent Medicine Fuke Desheng Wan Using the Shotgun Metabarcoding Approach.
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使用鸟枪式元条形码方法分析传统中成药妇科得生丸的生物成分
DOI：
10.3389/fphar.2021.607197
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发表时间：
2021
影响因子：
5.6
通讯作者：
Shi L
中科院分区：
文献类型：
--
作者：
Xie H;Zhao Q;Shi M;Kong W;Mu W;Li B;Zhao J;Zhao C;Jia J;Liu J;Shi L
随着传统药物在世界范围内的广泛使用，传统中草药的安全性和有效性越来越受到公众的关注。但是，按照现行的质量标准很难对混合药材产品中药材的真伪进行监管，特别是传统的中成药，药材的用量差异较大。本研究采用散弹枪元条形码方法，对治疗痛经的中药复方妇科德生丸（FKDSW）进行生物成分分析。收集6种中草药材料，制作实验室制作的FKDSW模拟样品，建立基于散弹枪元条形码的中草药中成药生物成分鉴定评估方法。此外，还收集了4个商用FKDSW样本来验证散弹枪元条形码方法的实用性。然后，使用Illumina NovaSeq测序平台生成1.74亿对末端reads的原始数据总计52.16 Gb。同时，经生物信息学分析，获得ITS2、matK和rbcL区域的操作分类单位（otu）分别为228、23和14个。此外，通过散弹枪元条形码获得的组装序列与通过Sanger测序获得的相同物种的相应参考序列之间没有明显差异，除了部分ITS2和matK组装序列。雪莲（Falc）Lipsch。柴胡（Bupleurum chinense DC）。有1-6个不同的碱基。鉴定结果表明，6种处方成分均检出合格，柴胡柴胡的非正品成分均未检出。在所有商业样品中均检测到柴胡（Bupleurum falcatum L.），共检测到10科16属25种杂草。此外，在实验室和商业样品中均发现了17科26属的真菌。本研究表明，霰弹枪元条形码方法可以克服PCR扩增的偏倚，对中药剂量差异较大的传统中成药的生物成分进行鉴定。因此，这为提高传统中草药的安全性和有效性提供了一种合适的评价方法。
With the widespread use of traditional medicine around the world, the safety and efficacy of traditional herbal patent medicine have become an increasing concern to the public. However, it is difficult to supervise the authenticity of herbal materials in mixed herbal products according to the current quality standards, especially for traditional herbal patent medicine, with a distinct variance in the dosage of herbal materials. This study utilized the shotgun metabarcoding approach to analyze the biological ingredients of Fuke Desheng Wan (FKDSW), which is an effective traditional herbal product for the treatment of dysmenorrhea. Six herbal materials were collected, and a lab-made mock FKDSW sample was produced to establish a method for the authentication assessment of biological ingredients in traditional herbal patent medicine based on shotgun metabarcoding. Furthermore, four commercial FKDSW samples were collected to verify the practicality of the shotgun metabarcoding approach. Then, a total of 52.16 Gb raw data for 174 million paired-end reads was generated using the Illumina NovaSeq sequencing platform. Meanwhile, 228, 23, and 14 operational taxonomic units (OTUs) were obtained for the ITS2, matK, and rbcL regions, respectively, after bioinformatic analysis. Moreover, no differences were evident between the assembly sequences obtained via shotgun metabarcoding and their corresponding reference sequences of the same species obtained via Sanger sequencing, except for part of the ITS2 and matK assembly sequences of Paeonia lactiflora Pall., Saussurea costus (Falc.) Lipsch. and Bupleurum chinense DC. with 1–6 different bases. The identification results showed that all six prescribed ingredients were successfully detected and that the non-authentic ingredient of Bupleuri Radix (Chaihu, Bupleurum chinense DC. or Bupleurum scorzonerifolium Willd.) was found in all the commercial samples, namely Bupleurum falcatum L. Here, 25 weed species representing 16 genera of ten families were detected. Moreover, 26 fungal genera belonging to 17 families were found in both lab-made and commercial FKDSW samples. This study demonstrated that the shotgun metabarcoding approach could overcome the biased PCR amplification and authenticate the biological ingredients of traditional herbal patent medicine with a distinct variance in the dosage of the herbal materials. Therefore, this provides an appropriate evaluation method for improving the safety and efficacy of traditional herbal patent medicine.
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影响因子：
5.8
作者：
Etherington, Graham J.;Ramirez-Gonzalez, Ricardo H.;MacLean, Dan
通讯作者：
MacLean, Dan
影响因子：
4.6
作者：
Coghlan ML;Maker G;Crighton E;Haile J;Murray DC;White NE;Byard RW;Bellgard MI;Mullaney I;Trengove R;Allcock RJ;Nash C;Hoban C;Jarrett K;Edwards R;Musgrave IF;Bunce M
通讯作者：
Bunce M
影响因子：
5.6
作者：
Chen X;Zhou J;Cui Y;Wang Y;Duan B;Yao H
通讯作者：
Yao H
影响因子：
4.3
作者：
Huson DH;Beier S;Flade I;Górska A;El-Hadidi M;Mitra S;Ruscheweyh HJ;Tappu R
通讯作者：
Tappu R
影响因子：
3.7
作者：
Bovo S;Ribani A;Utzeri VJ;Schiavo G;Bertolini F;Fontanesi L
通讯作者：
Fontanesi L